TY - JOUR AU - Oakeson, Kelly AU - Wagner, Jennifer Marie AU - Mendenhall, Michelle AU - Rohrwasser, Andreas AU - Atkinson-Dunn, Robyn T1 - Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory T2 - Emerging Infectious Disease journal PY - 2017 VL - 23 IS - 9 SP - 1441 SN - 1080-6059 AB - The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the analysis of whole-genome sequence data depends on bioinformatic analysis tools and processes. Many public health laboratories do not have the bioinformatic capabilities to analyze the data generated from sequencing and therefore are unable to take full advantage of the power of whole-genome sequencing. The goal of this perspective is to provide a guide for laboratories to understand the bioinformatic analyses that are needed to interpret whole-genome sequence data and how these in silico analyses can be implemented in a public health laboratory setting easily, affordably, and, in some cases, without the need for intensive computing resources and infrastructure. KW - bioinformatics KW - whole-genome sequencing KW - next-generation sequencing KW - public health laboratory KW - infectious diseases KW - Utah KW - antimicrobial resistance KW - genes KW - genome KW - genomics DO - 10.3201/eid2309.170416 UR - https://wwwnc.cdc.gov/eid/article/23/9/17-0416_article ER - End of Reference